{"id":"https://openalex.org/W4299833142","doi":"https://doi.org/10.1109/icceai55464.2022.00024","title":"An improved Multi-objective Grey Wolf Optimization Algorithm Based on Multiple Strategies","display_name":"An improved Multi-objective Grey Wolf Optimization Algorithm Based on Multiple Strategies","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4299833142","doi":"https://doi.org/10.1109/icceai55464.2022.00024"},"language":"en","primary_location":{"id":"doi:10.1109/icceai55464.2022.00024","doi":"https://doi.org/10.1109/icceai55464.2022.00024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceai55464.2022.00024","pdf_url":null,"source":{"id":"https://openalex.org/S4363608072","display_name":"International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiaohuan Tian","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohuan Tian","raw_affiliation_strings":["School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013","institution_ids":["https://openalex.org/I2799293361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101186686","display_name":"Qiqi Hu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Hu","raw_affiliation_strings":["School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013","institution_ids":["https://openalex.org/I2799293361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018281460","display_name":"Liu Chun-an","orcid":"https://orcid.org/0000-0002-5072-9698","observed_orcids":["https://orcid.org/0000-0002-5072-9698"]},"institutions":[{"id":"https://openalex.org/I2799293361","display_name":"Baoji University of Arts and Sciences","ror":"https://ror.org/05nx0xs09","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799293361"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-An Liu","raw_affiliation_strings":["School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, Baoji University of Arts and Sciences,Baoji,P. R. China,721013","institution_ids":["https://openalex.org/I2799293361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2799293361"],"apc_list":null,"apc_paid":null,"fwci":1.1843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72540984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.04600000008940697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grey-wolf-optimizer","display_name":"grey wolf optimizer","score":0.7689999938011169},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/non-dominated-sorting","display_name":"non-dominated sorting","score":0.503000020980835},{"id":"https://openalex.org/keywords/reference-points","display_name":"reference points","score":0.7480000257492065},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.6259999871253967},{"id":"https://openalex.org/keywords/crowding-distance","display_name":"crowding distance","score":0.9430000185966492},{"id":"https://openalex.org/keywords/external-archive","display_name":"external archive","score":0.7559999823570251},{"id":"https://openalex.org/keywords/mutation-operator","display_name":"mutation operator","score":0.9610000252723694},{"id":"https://openalex.org/keywords/local-optima-avoidance","display_name":"local optima avoidance","score":0.699999988079071},{"id":"https://openalex.org/keywords/solution-diversity","display_name":"solution diversity","score":0.6520000100135803},{"id":"https://openalex.org/keywords/pareto-front-approximation","display_name":"Pareto front approximation","score":0.875}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6597357988357544},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.659689724445343},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.5813060998916626},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.573529839515686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5658020973205566},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5128841400146484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49236834049224854},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.47261810302734375},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.4627867043018341},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43910789489746094},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42238667607307434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35565686225891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2023683488368988},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceai55464.2022.00024","doi":"https://doi.org/10.1109/icceai55464.2022.00024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceai55464.2022.00024","pdf_url":null,"source":{"id":"https://openalex.org/S4363608072","display_name":"International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1967573487","https://openalex.org/W2022485595","https://openalex.org/W2061438946","https://openalex.org/W2174096823","https://openalex.org/W3198795664","https://openalex.org/W4206417916","https://openalex.org/W4220972311","https://openalex.org/W4281286659"],"related_works":["https://openalex.org/W2995139614","https://openalex.org/W2174096823","https://openalex.org/W4309706783","https://openalex.org/W4402572289","https://openalex.org/W7081968340","https://openalex.org/W3127560619","https://openalex.org/W4413854141","https://openalex.org/W4407192142","https://openalex.org/W4306386166","https://openalex.org/W4387219139"],"abstract_inverted_index":{"According":[0],"to":[1,20,43,73,83,93,128],"the":[2,5,52,56,65,70,74,77,81,85,90,95,98,108,113,118,130,136,144,152,157,161],"disadvantages":[3],"of":[4,28,76,80,97,107,117,122,156],"grey":[6,33],"wolf":[7,34],"algorithm":[8,35,146],"(GWO)":[9],"in":[10,55],"solving":[11],"multi-objective":[12,45],"optimization":[13,46],"problems,":[14],"such":[15],"as":[16],"slow":[17],"convergence,":[18],"easy":[19],"fall":[21],"into":[22],"local":[23,109],"optimum":[24,110],"and":[25,88,111,134,169],"poor":[26],"diversity":[27],"solution":[29,137],"sets,":[30],"an":[31],"improved":[32],"based":[36,60],"on":[37,61],"multiple":[38],"strategies":[39],"(I-MOGWO)":[40],"is":[41,126],"proposed":[42,145],"solve":[44],"problems.":[47],"It":[48],"mainly":[49],"includes:":[50],"clustering":[51],"non-dominated":[53],"individuals":[54],"external":[57,131],"archive":[58,132],"set":[59,138],"reference":[62],"points,":[63],"selecting":[64],"head":[66],"wolves":[67],"that":[68,102,143],"guide":[69],"search":[71,99],"according":[72],"size":[75,133],"density":[78],"value":[79],"clusters":[82],"improve":[84,112],"convergence":[86],"speed,":[87],"using":[89],"mutation":[91],"operator":[92],"perturb":[94],"position":[96],"agent":[100],"so":[101],"it":[103],"can":[104,147],"jump":[105],"out":[106],"global":[114],"exploration":[115],"ability":[116],"algorithm.":[119],"The":[120],"mechanism":[121,125],"crowding":[123],"distance":[124],"applied":[127],"maintain":[129],"keep":[135],"diversity.":[139,170],"Experimental":[140],"results":[141],"show":[142],"not":[148],"only":[149],"effectively":[150],"approximate":[151],"real":[153],"Pareto":[154,163],"front":[155],"problem,":[158],"but":[159],"also":[160],"obtained":[162],"optimal":[164],"solutions":[165],"have":[166],"better":[167],"distribution":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-10-03T00:00:00"}
